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A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sports

Overview of attention for article published in Brain Informatics, July 2021
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 106)
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
45 Mendeley
Title
A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sports
Published in
Brain Informatics, July 2021
DOI 10.1186/s40708-021-00134-4
Pubmed ID
Authors

Kayvan Tirdad, Alex Dela Cruz, Alireza Sadeghian, Michael Cusimano

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Doctoral Student 4 9%
Other 2 4%
Lecturer 1 2%
Other 4 9%
Unknown 25 56%
Readers by discipline Count As %
Computer Science 6 13%
Psychology 3 7%
Sports and Recreations 2 4%
Medicine and Dentistry 2 4%
Engineering 2 4%
Other 3 7%
Unknown 27 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 July 2021.
All research outputs
#6,263,739
of 23,308,124 outputs
Outputs from Brain Informatics
#35
of 106 outputs
Outputs of similar age
#129,965
of 442,548 outputs
Outputs of similar age from Brain Informatics
#1
of 3 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 106 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,548 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them